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%matplotlib inline | |
import matplotlib.pyplot as plt | |
plt.rcParams["figure.figsize"] = (10, 6) | |
import pandas as pd | |
import numpy as np |
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escape ^Tx | |
bind n eval 'next' | |
bind p eval 'prev' | |
defscrollback 10000 | |
# enable 256 color | |
termcapinfo xterm 'Co#256:AB=\E[48;5;%dm:AF=\E[38;5;%dm' | |
# don't resize terminal width when re-attached. |
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# add following line to end of your ~/.zshrc file and type "hoge" on command line | |
command_not_found_handler(){echo 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 |
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#include <stdlib.h> | |
#include <unistd.h> | |
void main(){ | |
while(malloc(100*1024*1024)); | |
while(1)sleep(60); | |
} |
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#!/usr/bin/env python | |
import subprocess, pty, os, sys | |
def _safe_read(m): | |
try: | |
return os.fdopen(m,"r").read() | |
except IOError: | |
return '' | |
sout_m, sout_s = pty.openpty() |
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#!/usr/bin/env python | |
# -*- coding:utf-8 -*- | |
import sqlite3 | |
import numpy as np | |
class Median: | |
def __init__(self): | |
self.values = [] | |
def step(self, value): | |
self.values.append(value) |
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# -*- coding: utf-8 -*- | |
import scipy.sparse as sps | |
import numpy as np | |
from StringIO import StringIO | |
def _np_savez(compressed=False, *args, **kwds): | |
sio = StringIO() | |
if compressed: | |
np.savez_compressed(sio, *args, **kwds) | |
else: |
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ls | perl -pe 's/([aiueo])/\1\1\1/ig;s/$/!!!/' |
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#!/usr/bin/env python | |
# -*- coding:utf8 -*- | |
import optparse | |
import sys | |
from contextlib import closing | |
import yaml | |
import jinja2 | |
from openpyxl import load_workbook |
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#!/usr/bin/env python | |
# -*- coding:utf8 -*- | |
import sys, optparse | |
import jinja2 | |
def main(args, params): | |
encoding = params.encoding | |
tpl = jinja2.Template(sys.stdin.read().decode(encoding)) | |
param = dict() | |
ex_args = list() |